Instructions to use 8glabs/test_trained_models_textual_azuki_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 8glabs/test_trained_models_textual_azuki_style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("8glabs/test_trained_models_textual_azuki_style", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download learned_embeds-step-750.bin from 8glabs/test_trained_models_textual_azuki_style: direct link, hf CLI and curl.
- Browser
- Download file 3.93 kB
-
https://huggingface.co/8glabs/test_trained_models_textual_azuki_style/resolve/main/learned_embeds-step-750.bin
- Command line
-
hf download hf://8glabs/test_trained_models_textual_azuki_style/learned_embeds-step-750.bin
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curl -L -o learned_embeds-step-750.bin https://huggingface.co/8glabs/test_trained_models_textual_azuki_style/resolve/main/learned_embeds-step-750.bin
3.93 kB
- Xet hash:
- fde1f3fdd587dd7a490d478a5b2e8566cd1c72c71fdfc06279f5dd65b0ede1ff
- Size of remote file:
- 3.93 kB
- SHA256:
- c0d10da773fd19349efa87aa9d41de72a786a65218b83de2f9785d6612db85a8
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